Algorithm comparison for cardiac image fusion of coronary computed tomography angiography and 3D echocardiography

Treatment decision for coronary artery disease (CAD) is based on both morphological and functional information. Image fusion of coronary computed tomography angiography (CCTA) and three-dimensional echocardiography (3DE) could combine morphology and function into a single image to facilitate diagnosis. Three semi-automatic feature-based algorithms for CCTA/3DE registration were implemented and applied on CAD patients. Algorithms were verified and compared using landmarks manually identified by a cardiologist. All algorithms were found feasible for CCTA/3DE fusion.